Predicting airline customer satisfaction using k-nn ensemble regression models
Customer satisfaction questionnaires are a rich and strong source of information for companies to seek loyalty, customer and client retention, opti- mize resources, and repurchase products. Several advanced machine learning and statistical models have been employed to estimate the customer satisfact...
محفوظ في:
المؤلف الرئيسي: | García, Vicente |
---|---|
مؤلفون آخرون: | Florencia, Rogelio, Sánchez Solís, Julia Patricia, Rivera Zarate, Gilberto, Contreras-Massé, Roberto |
التنسيق: | Artículo |
اللغة: | en_US |
منشور في: |
2019
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://www.rcs.cic.ipn.mx/2019_148_6/Predicting%20Airline%20Customer%20Satisfaction%20using%20k-nn%20Ensemble%20Regression%20Models.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction
بواسطة: García, Vicente
منشور في: (2019) -
Using Regression Models for Predicting the Product Quality in a Tubing Extrusion Process
بواسطة: Garcia, Vicente
منشور في: (2019) -
Regression Models for Estimating the Stress Concentration Factor of Rectangular Plates
بواسطة: Ramirez Monares, Jose Alfredo
منشور في: (2024) -
A regression model based on the nearest centroid neighborhood
بواسطة: Garcia, Vicente
منشور في: (2018) -
Analysis of job satisfaction in the hotel sector
بواسطة: Rita Patricia Contreras-Félix, وآخرون
منشور في: (2024)